1. What is Data Science?
a. The process of designing and building computer hardware to store and manage large volumes of data
b. A branch of science that exclusively focuses on collecting data without any further analysis
c. A multidisciplinary that combines domain expertise, programming skills, and knowledge of mathematics and statistics to extract meaningful insights from data.
Ans: c
2. Who is widely regarded as the Father of Data Science?
a. Alan Turing b. John Tukey c. Claude Shannon d. Marvin Minsky
Ans: b. John Tukey
3. Which branch of Data Science focuses on discovering patterns and relationships in large datasets?
a. Data Engineering b. Data Mining c. Data Visualization d. Machine Learning
Answer: b. Data Mining
4. Which branch of Data Science deals with building predictive models using algorithms? Options: A) Machine Learning B) Data Cleaning C) Data Warehousing D) Business Intelligence
Answer: A) Machine Learning
5. Which branch of Data Science emphasizes presenting data insights through charts, graphs, and dashboards? Options: A) Data Mining B) Data Visualization C) Data Engineering D) Predictive Analytics
Answer: B) Data Visualization
6. Which branch of Data Science involves preparing and managing data pipelines for analysis?
Options: A) Data Engineering B) Data Mining C) Machine Learning D) Data Visualization
Answer: A) Data Engineering
7. Which branch of Data Science focuses on analyzing historical data to forecast future trends? Options: A) Data Warehousing B) Predictive Analytics C) Data Visualization D) Data Mining
Answer: B) Predictive Analytics
8. Which branch focuses on building models that can learn from data and improve over time?
A) Data Engineering
B) Machine Learning
C) Predictive Analytics
D) Data Visualization
9. Which branch of Data Science focuses on transforming raw data into actionable business strategies?
A) Business Intelligence
B) Data Mining
C) Predictive Analytics
D) Machine Learning Answer: A) Business Intelligence
10. Which branch of Data Science combines AI techniques with statistical models to create self-learning systems?
A) Machine Learning
B) Deep Learning
C) Predictive Analytics
D) Data Mining Answer: B) Deep Learning
11. Which branch of Data Science deals with analyzing text, speech, and language data?
A) Natural Language Processing (NLP)
B) Data Mining
C) Predictive Analytics
D) Business Intelligence Answer: A) Natural Language Processing (NLP)
12. Which branch focuses on handling massive datasets that cannot be processed on a single machine?
A) Big Data Analytics
B) Data Visualization
C) Data Warehousing
D) Machine Learning Answer: A) Big Data Analytics
13. Which statement best describes the relationship between Data Science and AI?
A) Data Science and AI are completely unrelated fields.
B) Data Science uses AI techniques to analyze and interpret data.
C) AI is a subset of Data Science.
D) Data Science is a subset of AI.
Answer: B) Data Science uses AI techniques to analyze and interpret data.
14. Which branch of AI is most commonly applied in Data Science for predictive modeling?
A) Robotics
B) Machine Learning
C) Expert Systems
D) Natural Language Processing
Answer: B) Machine Learning
15. In Data Science, AI helps primarily with:
A) Data storage and retrieval
B) Automating decision-making and predictions
C) Data cleaning and preprocessing
D) Visualization of datasets
Answer: B) Automating decision-making and predictions
16. Which of the following is TRUE about Data Science and AI?
A) AI provides algorithms, while Data Science applies them to real-world data.
B) Data Science is only about visualization, while AI is about automation.
C) AI and Data Science are identical fields.
D) Data Science does not use AI at all.
Answer: A) AI provides algorithms, while Data Science applies them to real-world data.
17. Deep Learning, a subset of AI, is often used in Data Science for:
A) Creating dashboards
B) Handling unstructured data like images and text
C) Storing large datasets
D) Cleaning noisy data
Answer: B) Handling unstructured data like images and text
18. Why is cloud computing important for Data Science?
A) It provides physical notebooks for data scientists.
B) It offers scalable storage and computing power for large datasets.
C) It eliminates the need for algorithms.
D) It replaces machine learning models.
Answer: B) It offers scalable storage and computing power for large datasets.
19. Which cloud service model is most commonly used for deploying Data Science applications?
A) IaaS (Infrastructure as a Service)
B) PaaS (Platform as a Service)
C) SaaS (Software as a Service)
D) DaaS (Data as a Service)
Answer: B) PaaS (Platform as a Service)
20. Which of the following cloud platforms provides popular tools for Data Science and AI?
A) AWS, Azure, Google Cloud
B) Facebook, Twitter, Instagram
C) Oracle, SAP, Salesforce only
D) None of the above
Answer: A) AWS, Azure, Google Cloud
21. How does cloud computing enhance collaboration in Data Science projects?
A) By restricting access to datasets
B) By enabling shared access to data, models, and notebooks across teams
C) By removing the need for programming skills
D) By storing data only on local machines
Answer: B) By enabling shared access to data, models, and notebooks across teams
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